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Learning: 1) Make something. It sucks. 2) Realize it sucks. 3) Actually care about it. 4) Find ways to improve. 5) Try again; repeat forever. A lot of people get stuck at either 2) or 3). 4) and 5) are practically automatic if you pass 3).
If you give up after realizing you suck -- you didn't care enough. Caring is persevering. Forever.
If you don't have sufficient taste or vision, or if you are never exposed to the best, you will fail 2). You'll never realize your output is terrible. So seek out environments that will humble you
If you are content with mediocrity, or you don't want to admit to mediocrity ("I'm just not made for this, let's never do it again"), you will fail 3). To learn, you need to care. You need intrinsic drive.
improvement is the key, but on the other hand being perfectionist (always realizing that you suck) prevent you from going public and publishing something.
So why does TensorFlow include code that allows me to cut short additional epochs if I am no longer reducing the loss function? 
It’s all about how bad you want it. And by all I mean anything in life. If it’s realistic and you want it bad enough.
I really needed this observation today. Its helpful to have outside validation of caring so much you persevere 'forever', when you're in one of those moments of doubt.
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